Challenges on wireless heterogeneous networks for mobile cloud computing
Mobile cloud computing (MCC) is an appealing paradigm enabling users to enjoy the vast computation power and abundant network services ubiquitously with the support of remote cloud. However, the wireless networks and mobile devices have to face many challenges due to the limited radio resources, battery power and communications capabilities, which may significantly impede the improvement of service qualities. Heterogeneous Network (HetNet), which has multiple types of low power radio access nodes in addition to the traditional macro cell nodes in a wireless network, is widely accepted as a promising way to satisfy the unrelenting traffic demand. In this article, we first introduce the framework of HetNet for MCC, identifying the main functional blocks. Then, the current state of the art techniques for each functional block are briefly surveyed, and the challenges for supporting MCC applications in HetNet under our proposed framework are discussed. We also envision the future for MCC in HetNet before drawing the conclusion.
Existing System:
Existing research on cloud computing mostly focuses on problems such as parallelized processing on massive data volumes, flexible virtual machine (VM) management, large data storage and so on. Unlike cloud computing in wire line networks, the mobile-specific challenges of MCC arise due to the unique characteristics of mobile networks, which have severe resource constraints and frequent variations in network conditions. To the best of the authors’ knowledge, there have been quite few work in the existing literatures on these problems in Het-Net for MCC applications. The scope of this article is hence to examine how SMDs can work so as to enjoy MCC applications.
Proposed System:
The Het Net offers to the offloading decision function a range of wireless transmission services with different service classes and monetary prices, and the offloading decision is made considering both the offloading gain and the cost of using the Het-Net when a Service Level Agreement (SLA). Het Net for MCC, every functional block needs to make a decision based on the current system state to obtain the optimized performance. However, the current state-of-art techniques for each functional block face several challenges in order to make the optimized decision.
A profile tree is constructed, respectively, to provide a global view of the application behavior and specify the amount of data migration needed between different tasks. A dynamic partition algorithm based on Lyapunov optimization
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